A Survey on Feature Selection Techniques using Evolutionary Algorithms

Feature selection, a method of dimensionality reduction, is nothing but collecting range appropriate feature subsets from the total number features. In this paper, point by explanation review about selection in segment preferred affairs and its appraisal techniques are discussed. I will initiate my conversation with straightforward approach so that we consider taking care features issues depending upon meta-heuristic strategy. These help obtaining best highlight subsets. Thereafter, paper discusses some system models drive naturally environment discussed calculations performed can take matters complex massive data. Here, furthermore, discuss algorithms like genetic algorithm (GA), Non-Dominated Sorting Genetic Algorithm (NSGA-II), Particle Swarm Optimization (PSO), other strategies for considering provisional separation issues. A comparison these has been performed; results show technique benefits machine learning improving performance algorithm. This also presents various real-world applications using selection.